System and method for implementing model predictive control in PLC

摘要

A Model Predictive Control (MPC) framework is implemented as part of the run-time system function features of a Programmable Logic Controller (PLC) system. Optimal control calculations are performed in the run-time MPC function block of the PLC. The optimal control function is determined by an MPC block in an engineering tool of the PLC, using a system dynamic matrix containing measurements from a unit step response test performed by the PLC.

主权项

1. A method for controlling process equipment via a programmable logic controller, comprising:
by a processor implementing a model predictive control engineering tool, receiving model predictive control engineering parameters; by the processor, commanding the programmable logic controller to perform a model identification operation on the process equipment; by the processor, receiving, from the programmable logic controller, results from the model identification operation; by the processor, constructing a system process model for the process equipment, using the results from the model identification operation; by the processor, implementing a programmable logic control engineering tool to construct a control logic for the process equipment; and downloading the system process model to a model predictive control function block in the programmable logic controller and the control logic to a proportional/integral/derivative function block in the programmable logic controller, both function blocks called to implement process equipment control.